Growth Experimentation & Tactics Questions

1. Simplified first-run flow (reduce steps from signup → first success)

• Primary metric: Activation rate (percent new users reaching “first success” within 7 days)
• Secondary: Time-to-activation (median hours)
• Guardrail: Drop-off at step 1 (signup completion rate) — ensure simplification doesn’t hurt signups

2. Contextual, inline product tour (progressive tips vs. modal walkthrough)

• Primary: Activation rate (same definition)
• Secondary: Engagement depth (average key actions per activated user in week 1)
• Guardrail: NPS/qualitative friction (support tickets about guidance) — avoid annoying users

3. Personalized onboarding checklist (recommended next actions based on user segment)

• Primary: Activation rate by segment (conversion lift for targeted segments)
• Secondary: Checklist completion rate
• Guardrail: Feature overload (percent of users who disable checklist / increase in churn week 2)

4. Email + in-app nudges for dormant new users (triggered at 24-72 hrs inactivity)

• Primary: Reactivation rate (percent of dormant new users completing activation within 7 days of nudge)
• Secondary: Click-through / open rate (email) or CTR (in-app)
• Guardrail: Unsubscribe / opt-out rate — avoid spamming

5. Reduce friction on critical input (e.g., social login, autofill, remove required fields)

• Primary: Activation rate for users who used optimized path
• Secondary: Signup-to-activation funnel time reduction
• Guardrail: Data quality degradation (percent missing/invalid critical fields) — ensure analytics & downstream features still work

For each experiment I’d define cohorts, run A/B tests, pre-specify success thresholds, and track significance and sample size. I’d deliver a dashboard showing primary/secondary/guardrail trends and segmentation.